How Can We Help?
How can I interpret the evaluation results for my regression model?
For regression models, the evaluation results are based on the following metrics or measures:
- Mean Absolute Error: it tells you how close the predictions are to the actual outcomes.
- Mean Squared Error: it is like absolute error, but it will give a little more weight to the large errors.
- R Squared: it tells you how much better the model’s prediction is than just predicting the mean target value all the time.